AI WORKSHOPS, DIAGNOSTICS & ADVISORY

The AI advantage isn’t the tool. It’s the organization willing to change.

NeuroHaus helps marketing and communications leaders turn AI ambition into better ways of working — by creating the conditions to experiment, redesigning high-friction workflows and making new possibilities tangible.

Barry Lowenthal · 35+ years leading marketing, media and technology Former Media Kitchen CEO and Inuvo president
The NeuroHaus thesis

Everyone has access to powerful AI. The differentiator is how quickly your organization can learn, experiment and change.

The real barrier

AI transformation is a human problem before it is a technology problem.

Most organizations already have access to capable AI tools. What slows adoption is what happens around them: uncertainty, status, incentives, habits and fear.

Job security

“If I become too efficient, do I make myself less necessary?”

Status

“I don’t want to look stupid asking how this works.”

Confidence

“Everyone else seems to know more than I do.”

Permission

“I’ll wait until someone tells me exactly what I’m allowed to do.”

Experimentation has to feel safe before it can become normal.

NeuroHaus helps leaders create practical conditions for curiosity: room to ask basic questions, structured experimentation, shared learning and visible wins. The objective is not to make everyone an AI expert. It is to build an organization confident enough to keep learning.

The AI Adoption Quadrant

Your organization is not in one place on AI.

The point isn’t to label people. It’s to reveal where energy, friction and fear live, so leaders know where to start.

Willingness to experiment →

Curious Explorers

Higher willingness
Lower confidence

Confident Experimenters

Higher willingness
Higher confidence

Cautious Observers

Lower willingness
Lower confidence

Experienced Skeptics

Lower willingness
Higher confidence

Confidence with AI →
How I help

Turn AI from an initiative into a capability.

NeuroHaus focuses on strategy, adoption and better ways of working. I help teams decide where to start, make the opportunity concrete and build the confidence to carry it forward.

01 / BUILD

Tinkerfest

Best for Teams ready to learn AI by doing real work.

Learn AI by building with it.

A working session, not a talk. Your team brings the briefs, reports and recurring tasks that eat the week. Together we redesign them with AI and build working prototypes. People leave with something they made and templates they can keep using.

You walk away with working prototypes and a team that wants to keep building.

How the session works

Most prototypes get built in a single working session; how long a build takes depends on how complicated it is.

Typical work
  • Real tasks from the team's own week
  • Guided build time with support in the room
  • Prompt and workflow templates the team keeps
  • Prototypes the team built itself, most in one session
02 / MAP

Workflow Friction Mapping

Best for Leaders deciding where AI can make the biggest difference.

Start where the work sticks.

Find where time and effort go before choosing the tools. You get a prioritized map of what to start, what to plan and what to set aside, with the right tool for each opportunity and a way to measure the return.

You walk away knowing where to start and what to ignore.

How the diagnostic works

The depth depends on your organization. Sometimes it starts and ends with a single phone call with the CEO. In most cases, discovery includes interviews with key stakeholders, each at least 30 minutes, and a closer look at their workflows.

Flat fee, customized to the situation.

Typical work
  • Leadership and team interviews
  • Workflow discovery and friction mapping
  • Opportunities plotted by friction and difficulty
  • Tool and model matching for each priority
  • A measurement plan for every initiative
03 / ADVISE

Fractional advisory

Best for Executives who own AI strategy and need a thought partner.

A thought partner, not a deck.

Regular working sessions, a direct line in between, and help with the hard decisions: strategy, vendors, spend and team design. Judgment from an operator who has led marketing organizations through 35 years of technology change.

Senior judgment on call, without a consulting deck in sight.

Typical work
  • Standing working sessions
  • Decisions on AI strategy, vendors and spend
  • Org and team design for adoption
  • Prep for board and leadership conversations
04 / VISIBILITY

AI visibility strategy

Best for Marketing leaders navigating how AI recommends brands.

AI is changing how people discover brands, products and expertise. I help marketing leaders assess where they stand and design the capability to improve visibility in AI-generated answers and recommendations.

Build the capability. Own it internally.

Opportunity education, visibility assessment, capability design, workflow recommendations and tool evaluation and vendor selection. Your team or chosen specialist handles ongoing execution.

Strategic advisory
In practice

Real problems, solved with AI

A few ways better workflows become real work.

A New York branding group with a sister beauty business

From scattered experiments to one way of working.

The problemStaff were trying AI on their own, useful tricks never reached the next desk, and client work sat in personal accounts.

What we builtSeven interviews, one per workstream, then one company-owned AI account covering both businesses, with seat controls, personal accounts moved under company control, and hands-on workshops.

A fashion brand

Press releases that sound like the brand.

The problemThe team wrote every release from scratch, so tone, structure and boilerplate drifted and every draft needed heavy editing.

What we builtA Claude Project loaded with the brand's best past releases, voice guidelines, approved boilerplate and house style, so drafts come back in the brand's voice, ready for a light edit.

The CEO of an ad tech company

A chief of staff that drafts but never sends.

The problemHe wanted AI help with follow ups and reading, but worried about an agent emailing the wrong person.

What we builtAgents connected to the tools he already used that scan for follow ups he owes and summarize his newsletters. Every email step writes a draft for his review, so nothing leaves his outbox without his say.

The Workflow Prioritization Quadrant

Put effort where it moves you forward.

Understand your people. Then prioritize the work. Map opportunities by workflow friction and implementation difficulty to decide what to start, plan and set aside.

Turn priorities into milestones.
Give each selected initiative an owner, a measurable outcome and a review date. Start with a pilot, learn from the results and decide what comes next.

Workflow friction →

Build momentum

Higher friction
Easier implementationSolve a pressing problem. Show measurable value.

Plan the bigger move

Higher friction
Harder implementationSet milestones. Resolve dependencies before scaling.

Build confidence

Lower friction
Easier implementationCreate useful habits through small, practical wins.

Defer

Lower friction
Harder implementationProtect time and energy for more valuable work.

Implementation difficulty →
The approach

Make the next way of working visible.

Strategy matters. But people believe change when they can see it. NeuroHaus moves from diagnosis to tangible proof quickly, then hands teams a clear path forward.

01

Understand

Listen to leaders and teams. Find the fear, friction and business priorities.

02

Prioritize

Choose the opportunities where impact is meaningful and progress can be seen.

03

Experiment

Test new workflows with real tasks, real constraints and the tools you already have.

04

Make it visible

Turn ideas into working examples that teams can react to, improve and trust.

05

Hand it over

Leave the organization with priorities, prototypes and capability it can own.

Example engagement · PR agency

From repetitive work to reusable AI workflows.

A communications team wanted practical ways to use AI in everyday client work — without turning the engagement into a major technology project.

Mapped the friction

Identified recurring tasks where time was being consumed and expertise could be reused more effectively.

Redesigned key workflows

Created AI-assisted approaches for media monitoring and press release development.

Made it tangible

Turned abstract AI possibilities into workflows the team could see, test and improve immediately.

Built internal capability

Focused on ways of working the agency could own and evolve rather than outsourcing the capability.

“The goal isn’t to teach people AI. It’s to build an organization that knows how to learn, experiment and change.”

NeuroHaus point of view

Founder led by design

Barry
Lowenthal

Founder, NeuroHaus.ai · Strategic advisor

Connect with Barry on LinkedIn

Strategy from an operator who understands how marketing organizations actually work.

NeuroHaus is Barry Lowenthal’s AI advisory practice. Barry has spent more than three decades leading marketing, media and technology organizations — including as CEO of Media Kitchen and President of AI-powered ad technology company Inuvo.

He works directly with leaders and teams to translate rapid technology change into practical organizational change: where to focus, what to test, how to build confidence and what a better workflow could actually look like.

35+ years leadingMarketing, media and technology.
Former Media Kitchen CEO and Inuvo president.
Teaching the next generationLecturer at Columbia and Baruch.
90+ published articlesA perspective shaped by practice.
Start here

What’s getting in the way?

You do not need a perfect AI strategy before we talk. Tell me where your organization is stuck, what you think could work better or what opportunity you are trying to understand.

Start with a short email about the work you want to improve. We’ll talk through where you’re stuck and whether a workshop, a diagnostic or ongoing advice makes sense.

I dictate. AI cleans up.